6 Techniques From Leading AI Scientists To Optimise Deep Neural Networks

Inspired by human brains, Artificial Neural Networks (ANN) are now being utilised by enterprises across the globe to solve a number of complex computing tasks like speech recognition, computer vision, stock market prediction, among others.  In this article, we list…

Why Learning Rate Is Crucial In Deep Learning

A key balancing act in machine learning is choosing an appropriate level of model complexity: if the model is too complex, it will fit the data used to construct the model very well but generalise poorly to unseen data (overfitting);…

How ML Frameworks Like TensorFlow And PyTorch Handle Gradient Descent

Optimisation is the most important component when we consider machine learning algorithms. It helps in reducing the error and improving the accuracy in the solution of a problem. Gradient Descent is one such algorithm which is used for the purpose…

DeepMind Solves One Of The Oldest Challenges Of Biochemistry With AlphaFold

An Antarctic eelpout swims gracefully in cold dark depths without freezing its internal juices. It does this with the help of anti-freezing proteins (AFPs) which are by-products of million mutations over millions of years of evolution. The 3D structure of…

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